Development of the approach to the analysis of aviation industry’s adaptation to seasonal disruptions
Sofiyat Bakreen, Markovskaya E., Igor Merzlikin, Asiiyat Mottaeva
Vol. 63. , Editions Elsevier, 2022
, Актуальные проблемы Европы 2021 № 1 С. 28-53
The COVID-19 pandemic has subjected international rela-tions to a severe stress test – at the level of both individual states and multilateral associations. Among the obvious challenges are the economic crisis, the crisis of global governance, the growth of protectionist and isolationist senti-ments, the growing military confrontation along the US–China axis. The article focuses on ...
Added: February 5, 2021
Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective ...
Added: September 15, 2014
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
, , et al., , in: International Conference on Machine Learning (ICML 2020). Vol. 119.: PMLR, 2020.. P. 5556-5566.
Added: October 17, 2020
Formal Concept Analysis: 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 – July 2, 2021, Proceedings
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length. The research part ...
Added: July 10, 2021
Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018) ...
Added: October 29, 2018
, , in: Software Quality: Future Perspectives on Software Engineering Quality: 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021, Proceedings. .: Springer, 2021.. P. 54-65.
In this concept paper, we explore some of the aspects of quality of continuous learning artificial intelligence systems as they interact with and influence their environment. We study an important problem of implicit feedback loops that occurs in recommendation systems, web bulletins and price estimation systems. We demonstrate how feedback loops intervene with user behavior ...
Added: September 23, 2021
Исследовательский проект как инструмент обучения методам анализа текста: предсказание класса поста в социальной сети
, , et al., Компьютерные инструменты в образовании 2018 № 3 С. 49-64
The article describes a student research project on predicting the class of a post on a social network based on its textual content. The features of the project are discussed as an integral part of the trajectory of teaching data analysis methods, including text analysis methods and tools that are often not included in machine ...
Added: January 28, 2019
, Коммуникации. Медиа. Дизайн 2021 Т. 6 № 3 С. 23-41
The article analyzes the impact of the COVID-19 pandemic on Russian podcasting. It examines the trends which emerged in this sphere in connection with the pandemic the growing interest of Russian listeners in podcasts and the growing number of podcasts produced, including podcasts devoted specifically to the pandemic. The author studies how the coronavirus affected the content of popular Russian podcasts ranked in the top 10 of Yandex.Music in 2020. Separate attention is paid to the genre-thematic specificity of popular Russian podcasts and the relationship between their reflection of the theme of the pandemic and their main topic. The correlation between the number of mentions of the pandemic in popular Russian podcasts and the dynamics of the number of new cases of COVID-19 in Russia in 2020 is analyzed in detail. ...
Added: November 8, 2021
, В кн.: Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. .: М.: МИЭМ НИУ ВШЭ, 2019.. С. 223-224.
Данная работа посвящена актуальной теме автоматизации в машинном обучении на примере создания универсальной рекомендательной системы. В работе исследуются различные типы рекомендательных систем, акцент делается на подходы коллаборативной фильтрации. Изучаются методы автоматизации машинного обучения, на основе которых будет разработана данная рекомендательная система. ...
Added: October 31, 2020
Сценарное моделирование движения беспилотных транспортных средств в искусственной дорожной сети с использованием FLAME GPU
, , Искусственные общества 2021 Т. 16 № 1 С. 1-23
This article presents a model of the ground autonomous vehicles (AVs) motion in the Artificial Road Network (ARN) belonging to the "Manhattan Lattice" type with the implementation of the large-scale agent-based modeling framework FLAME GPU. The most important scenarios of the traffic situation development are investigated, in particular, which are associated with reducing visibility on ...
Added: April 1, 2021
, Психология. Журнал Высшей школы экономики 2021 Т. 18 № 3 С. 491-505
The paper is devoted to the problem of digital life of personality. This study is based on the theoretical development of the Model of the topology of life by E.B. Starovoitenko. I proposed digital and objective shaped spaces in addition to the original Model. Besides I proposed to comprehend the new perspectives of the model ...
Added: October 19, 2020
Added: July 27, 2022
, В кн.: МАШИННОЕ ОБУЧЕНИЕ В ИССЛЕДОВАНИЯХ МЕДИКО-БИОЛОГИЧЕСКИХ И СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ ДАННЫХ. .: СПб.: Федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого", 2020.. С. 284-333.
In many practical tasks it is needed to estimate an effect of treatment on individual level. For example, in medicine it is essential to determine the patients that would benefit from a certain medicament. In marketing, knowing the persons that are likely to buy a new product would reduce the amount of spam. In this ...
Added: December 7, 2021
Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019
CEUR Workshop Proceedings, 2019
Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research Univeristy Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7) ...
Added: October 23, 2019
Oxford Abstracts, 2021
Recovering from Covid: Responsible Management and Reshaping the Economy In 2021, the 35th Conference and 2nd BAM Conference in the Cloud, will critically engage with the socio-economic recovery from the global Covid-19 pandemic. Consumers, producers, frontline workers, managers, businesses, public and third sector organisations all have their own roles and responsibilities in transforming our marketised society for the post-pandemic world. We will critically explore the challenges we all face, aiming to ...
Added: June 12, 2021
WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics
Association for Computing Machinery (ACM), 2020
On behalf of the conference chairs, we welcome you to the 10th International Conference on Web Intelligence, Mining and Semantics (WIMS'20) hosted by LIUPPA Lab of the University de Pau & Pays de l'Adour, Biarritz-France. The 1st WIMS conference was organized in Sogndal Norway. Since then, it has always been published by ACM. After 10 ...
Added: August 28, 2020
Changes in consumer behavior in the BRICS countries during the COVID-19 pandemic: The role of trust and anxiety
, , , BRICS Journal of Economics 2021 Vol. 2 No. 1 P. 53-73
n the spring of 2020, the COVID-19 pandemic created a new reality. Each country has implemented different measures to contain the pandemic, which has had many consequences for society and businesses. The purpose of this paper is to improve understanding of how the COVID-19 pandemic has changed consumer behavior in the BRICS countries and discuss the role of consumer ...
Added: April 1, 2021
Agent-based modelling of interactions between air pollutants and greenery using a case study of Yerevan, Armenia
, , , Environmental Modelling and Software 2019 Vol. 116 P. 7-25
Urban greenery such as trees can effectively reduce air pollution in a natural and eco-friendly way. However, how to spatially locate and arrange greenery in an optimal way remains as a challenging task. We developed an agent-based model of air pollution dynamics to support the optimal allocation and configuration of tree clusters in a city. The Pareto ...
Added: February 24, 2019
Dordrecht, L., Heidelberg, NY: Springer, 2014
This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; ...
Added: October 1, 2014
The Return and Volatility Connectedness of NFT Segments and Media Coverage: Fresh Evidence Based on News About the COVID-19 Pandemic
, , et al., Finance Research Letters 2022 Vol. 49 Article 103031
We study the relationship between return and volatility of non-fungible tokens (NFT) segments and media coverage during the outbreak of the COVID-19 pandemic in a connectedness framework. We document media coverage as a net transmitter of spillover for both the return and volatility of NFT segments. We find that NFTs representing the Utilities segment is a major transmitter ...
Added: September 3, 2022
, , et al., Scientific data 2021 Vol. 8 No. 1 Article 235
The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to ...
Added: September 30, 2021
, , et al., , in: 2021 International Conference Engineering and Telecommunication (En&T). .: IEEE, 2022..
Style transfer is an important and a rapidly developing of Natural Language Processing. This days more and more methods and models are proposed which allow us to generate text in predefined style. In this paper we propose a framework for style transfer of “Friends” TV series. The trained models are able to mimic one of ...
Added: May 21, 2022
Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2014)
Prague: CEUR Workshop Proceedings, 2014
The first and the second edition of the FCA4AI Workshop showed that many researchers working in Artificial Intelligence are indeed interested by a well-founded method for classi- fication and mining such as Formal Concept Analysis (see http://www.fca4ai.hse.ru/). The first edition of FCA4AI was co-located with ECAI 2012 in Montpellier and published as http://ceur-ws.org/Vol-939/ while the ...
Added: September 12, 2014